ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference

ParoQuant is a novel technique that employs pairwise rotation quantization to significantly improve the efficiency of Large Language Model (LLM) inference. This method specifically targets reasoning LLMs, enabling more cost-effective and faster deployment by reducing computational and memory requirements.